title: Insights into global mechanisms and disease by gene expression profiling.
abstract: Transcriptomics has played an essential role as proof of concept in the development of experimental and bioinformatics approaches for the generation and analysis of Omics data. We are giving an introduction on how large-scale technologies for gene expression profiling, especially microarrays, have changed the view from studying single molecular events to a systems level view of global mechanisms in a cell, the biological processes, and their pathological mutations. The main platforms available for gene expression profiling (from microarrays to RNA-seq) are presented and the general concepts that need to be taken into account for proper data analysis in order to extract objective and general conclusions from transcriptomics experiments are introduced. We also describe the available main bioinformatics resources used for this purpose.
authors.affiliation: Genomics Unit, Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain.
authors.forename: Fátima
authors.initials: F
authors.lastname: Sánchez-Cabo
authors.forename: Johannes
authors.initials: J
authors.lastname: Rainer
authors.forename: Ana
authors.initials: A
authors.lastname: Dopazo
authors.forename: Zlatko
authors.initials: Z
authors.lastname: Trajanoski
authors.forename: Hubert
authors.initials: H
authors.lastname: Hackl
mesh_terms: D000818:Animals; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D004194:Disease / Q000235:genetics*; D020869:Gene Expression Profiling; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D015345:Oligonucleotide Probes / Q000235:genetics; D011786:Quality Control; D012313:RNA / Q000235:genetics; D015203:Reproducibility of Results; D017422:Sequence Analysis, DNA; D012984:Software; D013223:Statistics as Topic
chemical_list: D015345:Oligonucleotide Probes; D012313:RNA